code: def avg_pool2d(
      x: paddle.Tensor,
      kernel: Union[int, Tuple[int], Tuple[int, int]],
      strides: Union[int, Tuple[int], Tuple[int, int]],
      padding: Union[str, int, List[Tuple[int, int]]],
      /,
      *,
      data_format: str = "NHWC",
      count_include_pad: bool = False,
      ceil_mode: bool = False,
      divisor_override: Optional[int] = None,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      raise IvyNotImplementedException()
  
imports: from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
  import paddle
  from ivy.functional.ivy.layers import _handle_padding, _depth_max_pooling_helper, _validate_max_pool_params
  from ivy.utils.exceptions import IvyNotImplementedException, IvyValueError
  from ivy.func_wrapper import with_supported_device_and_dtypes, with_unsupported_dtypes, with_supported_dtypes
  from ..None import backend_version
  import ivy
label_desc: Use image node_id 6 for calling a global function with example usage: avg_pool2d() without return types